What is the first step in a data migration project?

• A. Prepare the data
• B. Finalize mapping
• C. Execute the import
• D. Validate results

Answer: (A)

Preparing the data first establishes the foundation for the entire migration. You need to know what exists, how it’s structured, and where quality issues are before you can do reliable mapping or transformation. Data profiling and cleansing identify duplicates, inconsistencies, missing values, and format problems, and they help decide which data should be migrated and how it should be shaped to fit the target system. Once the data is cleaned and understood, you can design accurate mappings, set transformation rules, and plan the import with a realistic scope. Jumping into mapping, importing, or validating without this groundwork often leads to errors, data gaps, and rework, because the destination expectations aren’t aligned with the messier source data. So, starting with data preparation ensures a solid, reliable base for all subsequent migration steps.